Heterogeneous Simulation—Mixing Discrete-Event Models with Dataflow
Journal of VLSI Signal Processing Systems - Special issue on the rapid prototyping of application specific signal processors (RASSP) program
Models of computation for embedded system design
System-level synthesis
Embedded Multiprocessors: Scheduling and Synchronization
Embedded Multiprocessors: Scheduling and Synchronization
Methods and Applications of (MAX, +) Linear Algebra
STACS '97 Proceedings of the 14th Annual Symposium on Theoretical Aspects of Computer Science
Proceedings of the 4th ACM international conference on Embedded software
Proceedings of the 5th ACM international conference on Embedded software
Scheduling with timed automata
Theoretical Computer Science - Tools and algorithms for the construction and analysis of systems (TACAS 2003)
Throughput Analysis of Synchronous Data Flow Graphs
ACSD '06 Proceedings of the Sixth International Conference on Application of Concurrency to System Design
Composing heterogeneous reactive systems
ACM Transactions on Embedded Computing Systems (TECS)
Faster maximum and minimum mean cycle algorithms for system-performance analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A framework for comparing models of computation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
System modeling and transformational design refinement in ForSyDe [formal system design]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A new hybrid genetic algorithm for job shop scheduling problem
Computers and Operations Research
Inventory based two-objective job shop scheduling model and its hybrid genetic algorithm
Applied Soft Computing
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This paper proposes a methodology for performance evaluation of schedules for job-shops modeled using tag machines. The most general tag structure for capturing dependences is shown to be inadequate for the task. A new tag structure is proposed. Comparison of the method with existing ones reveals that the proposed method has no dependence on schedule length in terms of modeling efficiency and it shares the same order of complexity with existing approaches. The proposed method, however, is shown to bear promise of applicability to other models of computation and hence to heterogeneous system models having such constituent models.